About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurancebased
risk transfer, working to make the world more resilient. We anticipate and manage a wide variety
of risks, from natural catastrophes and climate change to cybercrime. Combining experience with
creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients.
This is possible thanks to the collaboration of more than 14,000 employees across the world.
About The Role
As a Senior Data Engineer, you will be responsible for designing and implementing complex data
pipelines and analytics solutions to support key decision-making business processes in our reinsurance
business domain. You will gain exposure to a project that is leveraging cutting edge technology that
applies Big Data and Machine Learning to solve new and emerging problems for Reinsurance Data.
Role is expected to take end-to-end ownership of deliverables, gaining a full understanding of the data
and the business logic required to deliver analytics solutions.
Key Responsibilities Include
- Work closely with Product Owners and Architects to understand requirements, formulate solutions
- and evaluate the implementation effort.
- Design, develop and maintain scalable data transformation pipelines
- Design and implement analytics models and visualizations to provide actionable data insights
- Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing
- conclusions about the applicability to our solution landscape.
- Collaborate within a global development team to design and deliver solutions
- Assist stakeholders with data-related functional and technical issues
About The Team
This position is part of the Data & Analytics team within the Digital & Technology Reinsurance.
We are part of a global strategic initiative to make better use of our reinsurance data and to
enhance our ability to make data driven decisions across the business value chain.
About You
Are you eager to disrupt the industry with us and make an impact? Do you wish to have your talent
recognized and rewarded? Then join our growing team and become part of the next wave of data
innovation. You enjoy the challenge of solving complex big data analytics problems using state-of-the-art
technologies as part of a growing global team of data engineering professionals.
Your Experience
- Bachelor's degree level or equivalent in Computer Science, Data Science or similar discipline
- At least 7 years of experience working with large scale software systems
- Proficient in Python/PySpark
- Proficient in SQL (Spark SQL preferred)
- Experience working with large data sets on enterprise data platforms and distributed computing
- (Spark/Hive/Hadoop preferred)
- Palantir Foundry exposure is a plus.
- Experience with JavaScript/HTML/CSS a plus
- Experience working in a Cloud environment such as AWS or Azure is a plus
- Knowledge of Insurance Domain, Financial Industry or Finance function in other industries is a
- strong plus
- Strong analytical and problem-solving skills
- Ability and enthusiasm to work in a global and multicultural environment of internal and external
- professionals
- Strong interpersonal and communication skills, demonstrating a clear and articulate standard of
- written and verbal communication in complex environments
About Swiss Re
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
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